Privacy Preserving Location Monitoring System for Wireless Sensor Network Algorithm
M. A. Ahmedsha, M. Balakrishna · 2012
The location monitoring system using identity sensors, the sensor nodes report the exact location information of the monitored persons to the server; thus using identity sensors immediately poses a major privacy breach. In this paper, we propose a privacypreserving location monitoring system for wireless sensor networks. We design two in-network location anonymization algorithms, namely, resource- and quality-aware algorithms, that preserve personal location privacy, while enabling the system to provide location monitoring services. Both algorithms rely on the well established k-anonymity privacy concept that requires a person is indistinguishable among k persons. In our system, sensor nodes execute our location anonymization algorithms to provide kanonymous aggregate locations, in which each aggregate location is a cloaked area A with the number of monitored objects, N, located in A, where N _ k, for the system. The resource-aware algorithm aims to minimize communication and computational cost, while the quality-aware algorithm aims to minimize the size of cloaked areas in order to generate more accurate aggregate locations.